Bridge Displacement Separation via Multi-Point Observation
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Solution Overview
Problem
Existing bridge axle load measurement systems, such as those using strain gauges, cannot accurately calculate the displacement of a structure caused by multiple moving objects simultaneously, limiting their ability to predict damage and manage bridge maintenance effectively.
Innovation Solution
A measurement method that involves acquiring data from multiple observation points along a structure, calculating deflection waveforms for individual moving objects, and using amplitude coefficients to approximate displacement waveforms, allowing for the separation of displacements caused by multiple moving objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If strain gauge measurement method is used to measure axle load, then vehicle weight can be measured without measuring bridge displacement, but displacements generated by multiple moving objects cannot be calculated separately
Solution Approach 1:
The patent segments the total displacement waveform into individual displacement waveforms for each moving object by detecting passage timing at multiple observation points and using these timing differences to separate and identify each object's contribution to the total displacement
Solution Approach 2:
The patent introduces passage timing information detected at multiple observation points as an intermediary parameter to enable the separation of displacements caused by different moving objects, allowing the system to identify and calculate individual object displacements from the total displacement waveform
2Measurement precision
If multiple observation points are used to calculate individual displacements, then displacement separation accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies local quality by placing observation points at specific locations along the structure where they can optimally detect passage timing of moving objects, ensuring that each observation point contributes uniquely to the separation and identification of individual object displacements
Data Source
AI summary
A measurement method includes: a step of acquiring first observation point information including a time point when each part of an m-th moving object passes a first observation point and a physical quantity which is a response to an action; a step of acquiring second observation point information including a time point when the each part passes a second observation point and a physical quantity which is a response to an action; a step of calculating a deflection waveform of a structure generated by the each part; a step of adding the deflection waveforms to calculate an m-th moving object deflection waveform; a step of calculating a displacement waveform at the third observation point; and a step of calculating first to M-th amplitude coefficients by assuming that a waveform obtained by multiplying an m-th amplitude coefficient by the m-th moving object deflection waveform is an m-th amplitude adjusted deflection waveform, and that a sum of first to M-th amplitude adjusted deflection waveforms is approximated to the displacement waveform.